code: def iterative_fit(self, X, y, n_iter=1, **fit_params):
      # Allows to use check_is_fitted on the choice object
      self.fitted_ = True
      if fit_params is None:
          fit_params = {}
      return self.choice.iterative_fit(
          X, y, n_iter=n_iter, **fit_params
      )
  
file_path: auto-sklearn/autosklearn/pipeline/components/regression/__init__.py
imports: from typing import Type
  import os
  from collections import OrderedDict
  from ConfigSpace.configuration_space import ConfigurationSpace
  from ConfigSpace.hyperparameters import CategoricalHyperparameter
  from autosklearn.askl_typing import FEAT_TYPE_TYPE
  from ..base import AutoSklearnChoice, AutoSklearnRegressionAlgorithm, ThirdPartyComponents, _addons, find_components
label_desc: Use image node_id 7 for calling the RegressorChoice obj's underlying member method code with example usage: obj.iterative_fit(X, y, n_iter) and returns: self